Inflatable Vest Control Using Non-Contact Biosensing and AI
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Solution Overview
Problem
Existing biometric sensors that require physical contact with the user's body cause discomfort and spatial constraints, and manual selection of psychological calming stimuli lacks objectivity in managing psychological states.
Innovation Solution
A wearable air-inflatable vest with non-contact biometric sensors and an AI model that processes biometric information to provide deep touch pressure stimulation based on user physiological state, eliminating discomfort and spatial constraints while enhancing accuracy and objectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contact-based biometric sensors are used to acquire user biometric information, then measurement precision is improved, but user comfort deteriorates due to physical contact causing discomfort and foreign body sensation
Solution Approach 1:
The patent replaces contact-based mechanical biometric sensors with non-contact biometric sensing technology. The wearable device acquires biometric information (such as heart rate, respiration rate) through non-contact methods like optical or electromagnetic sensing, eliminating the need for direct physical contact between sensors and skin while maintaining measurement accuracy.
Solution Approach 2:
The patent introduces an intermediary medium (such as air or optical field) between the biometric sensor and the user's body. The non-contact sensor detects biometric signals through this intermediary without requiring direct contact, thus avoiding the discomfort and foreign body sensation caused by traditional contact-based sensors.
2Object-affected harmful factors
If non-contact biometric sensors are installed in a specific space to acquire biometric information from a distance, then user comfort is improved by eliminating physical contact, but spatial constraints are imposed on the user
Solution Approach 1:
The patent makes the wearable device itself the sensing platform, integrating non-contact biometric sensors directly into the wearable garment. This allows the device to acquire biometric information regardless of the user's position or movement within the space, eliminating spatial constraints while maintaining non-contact operation.
Solution Approach 2:
The patent transitions from a stationary space-based sensing system to a mobile wearable-based sensing system. By moving the non-contact sensor with the user (changing from fixed spatial position to mobile attachment), the system maintains continuous biometric monitoring without restricting user movement or requiring specific spatial locations.
3Ease of operation
If manual selection of psychological calming stimuli is used, then user autonomy is improved, but objectivity in assessing psychological state deteriorates
Solution Approach 1:
The patent implements a closed-loop feedback system where biometric data continuously monitors the user's psychological state, and this data automatically triggers appropriate calming stimuli. The system adjusts stimulus selection based on real-time physiological feedback, ensuring objective assessment and appropriate intervention without requiring manual user judgment.
Solution Approach 2:
The patent enables the system to automatically monitor psychological state through biometric sensors and autonomously select and deliver appropriate calming stimuli without manual user intervention. The wearable device itself performs the assessment and intervention selection, providing objective, real-time psychological care while maintaining user comfort.
Data Source
AI summary
According to an embodiment of the present disclosure, a system for managing a psychological state of a user based on biometric information of the user includes a wearable device comprising an air tube configured to apply pressure to a portion of the user's body and an air pump configured to inject air into or discharge air from the air tube, and an external device configured to operate an artificial intelligence model, wherein the artificial intelligence model is configured to generate control information for controlling the air pump of the wearable device based on output data obtained by using the biometric information as input data, and is trained using the biometric information.